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Top 23 knowledge-graph Open-Source Projects
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graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Project mention: How much do coding agents spend rediscovering a codebase? | news.ycombinator.com | 2026-10-05i'd guess 25% of their time
https://github.com/Graphify-Labs/graphify is supposed to help with that, but I haven't tried it yet
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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Understand-Anything
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. (by Egonex-AI)
Understand Anything — interactive code knowledge graphs
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codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Project mention: Google's Ax and Anthropic's Financial Services Are Trending — But Who Solves Long-Running Workflow Resilience? | dev.to | 2026-09-23DeusData/codebase-memory-mcp indexes codebases into a persistent knowledge graph. It solves the "context loss" problem in long-running agent tasks — agents don't have to re-read the entire codebase every time.
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logseq
A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
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Project mention: Why Vector RAG Answers Only Half of a Legal Question: Building a GraphRAG Agent That Follows the Law's Cross-References, in 5 Steps | dev.to | 2026-10-02
[3] Z. Guo et al., “LightRAG: Simple and Fast Retrieval-Augmented Generation,” arXiv:2410.05779, 2024. https://arxiv.org/abs/2410.05779
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Project mention: 15 merged IME fixes: the recurring ways Japanese typing breaks web apps | dev.to | 2026-10-06
TriliumNext/Trilium #10315: board card and column titles.
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code-review-graph
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Project mention: Put code-review-graph Behind a Read-Only MCP Boundary Before Connecting Your Repository | dev.to | 2026-07-21code-review-graph is trending because it promises a useful trade: build a persistent local map of a codebase so an AI reviewer reads relevant context instead of ingesting the whole repository. The repository is MIT-licensed and exposes MCP and CLI interfaces.
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cognee
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
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memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Project mention: memvid VS verified-memory-vault - a user suggested alternative | libhunt.com/r/memvid | 2026-08-26 -
Project mention: Dissecting Semantica’s Graph-Native Core: The Missing Layer Between Context and Accountability | dev.to | 2026-09-04
git clone https://github.com/semantica-agi/semantica.git cd semantica python3 -m venv .venv . .venv/bin/activate python -m pip install --upgrade pip python -m pip install -e .
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KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
Project mention: The AI-Native GraphDB + GraphRAG + Graph Memory Landscape & Market Catalog | dev.to | 2025-10-26KAG (OpenSPG) - github.com/OpenSPG/KAG
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Understand-Anything
Graphs that teach > graphs that impress. Turn any code, or knowledge base (Karpathy LLM wiki), into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Project mention: Understand Anything – Graphs that teach the codebase | news.ycombinator.com | 2026-05-26 -
Project mention: First open-source knowledge enterprise world model | news.ycombinator.com | 2026-09-04
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FalkorDB
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
A couple of days ago I started to play with FalkorDB, an Open Source Graph Database. I already gave a presentation in Hebrew on how to use in general and specifically in Python. In a couple of hours I am going to give another one - this time in English - an intro to GraphDB. I'll use Rust for the programatic examples. It seems there is no client for it in Perl so it might be an interesting project to build one. The one in Python uses the Redis module for connectivity so I looked at the options to use Redis in Perl. MetaCPAN showed the Redis module as the first hit. Unfortunately that module did not have a commit for 3 years and there are many outstanding Issues and even PRs. So I posted about it both in the Perl Maven WhatsApp group and in the Telegram channel. Within seconds I was pointed towards Mojo::Redis and Redis::XS as alternatives.
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athens
Athens is a knowledge graph for research and notetaking. Athens is open-source, private, extensible, and community-driven.
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🌐 Official website https://potpie.ai
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Project mention: The AI-Native GraphDB + GraphRAG + Graph Memory Landscape & Market Catalog | dev.to | 2025-10-26
URLs: https://neo4j.com/labs/genai-ecosystem/llm-graph-builder / https://github.com/neo4j-labs/llm-graph-builder / https://neo4j.com/blog/developer/graphrag-llm-knowledge-graph-builder
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obsidian-second-brain
Persistent memory for Claude Code and 6 other CLI agents, stored as plain markdown in your Obsidian vault. Stop re-explaining your projects, decisions and people every session. 45 commands: hybrid semantic search, self-rewriting notes, key-less web research, and scheduled agents that maintain the vault while you sleep.
Project mention: A Vault That Rewrites Itself: obsidian-second-brain and the Karpathy LLM Wiki Pattern | dev.to | 2026-10-08Two tools most of us own ignore each other completely. An Obsidian vault with hundreds of notes nobody rereads. An AI agent in the terminal whose every session starts from zero, as if the past never happened. The obsidian-second-brain repository glues them together: 4.7k stars, MIT, authored by Eugeniu Ghelbur. The README's own formula: an evolution of Karpathy's LLM Wiki pattern, a vault that rewrites itself. Here's a review, plus why I read the whole thing with deja vu: my business CRM runs on the same pattern.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
knowledge-graph discussion
knowledge-graph related posts
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How much do coding agents spend rediscovering a codebase?
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Show HN: SuperLocalMemory – Features Jev/Laya as Judges on Every Recall
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Why Vector RAG Answers Only Half of a Legal Question: Building a GraphRAG Agent That Follows the Law's Cross-References, in 5 Steps
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Lilo 0.2.2 – a Rust/egui Markdown notes app with widget and workspace modes
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AODM: AI Optimized Data Markup
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Crbro – Local, file-based memory for MCP agents with supersede/retract
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Configurar Graphify para usarlo con Claude cli
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A note from our sponsor - SaaSHub
www.saashub.com | 9 Oct 2026
Index
What are some of the best open-source knowledge-graph projects? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | graphify | 123,850 |
| 2 | Understand-Anything | 85,297 |
| 3 | MiroFish | 76,931 |
| 4 | codebase-memory-mcp | 46,214 |
| 5 | logseq | 45,177 |
| 6 | LightRAG | 40,041 |
| 7 | Trilium Notes | 38,196 |
| 8 | code-review-graph | 31,991 |
| 9 | cognee | 31,578 |
| 10 | dgraph | 21,805 |
| 11 | memvid | 16,584 |
| 12 | Semantica | 13,623 |
| 13 | cocoindex | 11,644 |
| 14 | KAG | 9,082 |
| 15 | Understand-Anything | 8,502 |
| 16 | utopia | 8,183 |
| 17 | FalkorDB | 7,918 |
| 18 | athens | 6,299 |
| 19 | potpie | 5,739 |
| 20 | llm-graph-builder | 5,276 |
| 21 | obsidian-second-brain | 4,681 |
| 22 | RecBole | 4,527 |
| 23 | DeepKE | 4,484 |
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Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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